Optimizing an Arabic Query using Comprehensive Query Expansion Techniques

By utilizing a search engine for the inquired object, the user may get what he has looked for. However, in the average; the number of words the user comes up with for a query is two or three in general [23]. This mostly causes a number of problems. To overcome such problems, various query expansion techniques have been developed. However, none of them are asserted to present the optimal solution, especially in Arabic language because its complex morphological structure. Thus, the main objective of this paper is to optimize Arabic queries using comprehensive combination of these expansion techniques that can be used to enhance the process of query expansion and to retrieve the maximum number of the relevant documents for the Arabic user's query. The paper found that the developed system improved the recall and precision over couples of separated techniques. This method gets the benefits of both expansion approaches: interactive and automatic query; because the inquired object is automatically expanded and users are discretely engaged in query expansion.